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Record W2132782134 · doi:10.56105/cjsae.v27i1.3404

Space for Drawing: Women, Art, Love, and Fear

2014· article· en· W2132782134 on OpenAlexaffvenue
Petra Zantingh

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsApprehensionThe artsPsychologyVisual artsSpace (punctuation)Visual arts educationSocial psychologyAestheticsSociologyArtCognitive psychologyComputer science

Abstract

fetched live from OpenAlex

This article describes an arts-based research project where my purpose was to investigate how older women develop their skills as visual artists through the medium of drawing in a small group setting. The social construction of artist identities among the group and my teaching of drawing formed the basis of my study in this informal, community-based learning environment. I assessed how learning new creative skills later in life affects the quality of an individual’s sense of self and their perceived value and contribution in relation to society, and how apprehension about learning a new skill touches others in the group. My interest extended to investigating how the skill of drawing influences other areas of life like aesthetic awareness; and to the role of digital media in rendering the research. Arts based research as a method of inquiry allowed the use of alternative representation of results and findings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.256
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2014
Admission routes2
Has abstractyes

Explore more

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